Data-Driven Security

Analysis, Visualization and Dashboards
Author: Jay Jacobs,Bob Rudis
Publisher: John Wiley & Sons
ISBN: 111879382X
Category: Computers
Page: 352
View: 8255

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Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful ? data analysis and visualization. You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networks Includes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacks Covers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and more Written by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.

Data-Driven Security

Analysis, Visualization and Dashboards
Author: Jay Jacobs,Bob Rudis
Publisher: John Wiley & Sons
ISBN: 1118793722
Category: Computers
Page: 352
View: 6478

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Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful ? data analysis and visualization. You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networks Includes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacks Covers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and more Written by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.

Data-Driven Security

Analysis, Visualization and Dashboards
Author: Jay Jacobs,Bob Rudis
Publisher: John Wiley & Sons
ISBN: 1118793668
Category: Computers
Page: 352
View: 1995

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Network Security Through Data Analysis

Building Situational Awareness
Author: Michael S Collins
Publisher: "O'Reilly Media, Inc."
ISBN: 1449357865
Category: Computers
Page: 348
View: 3201

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Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In this practical guide, security researcher Michael Collins shows you several techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to protect and improve it. Divided into three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. It’s ideal for network administrators and operational security analysts familiar with scripting. Explore network, host, and service sensors for capturing security data Store data traffic with relational databases, graph databases, Redis, and Hadoop Use SiLK, the R language, and other tools for analysis and visualization Detect unusual phenomena through Exploratory Data Analysis (EDA) Identify significant structures in networks with graph analysis Determine the traffic that’s crossing service ports in a network Examine traffic volume and behavior to spot DDoS and database raids Get a step-by-step process for network mapping and inventory

Information Security Analytics

Finding Security Insights, Patterns, and Anomalies in Big Data
Author: Mark Talabis,Robert McPherson,Inez Miyamoto,Jason Martin
Publisher: Syngress
ISBN: 0128005068
Category: Computers
Page: 182
View: 6814

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Information Security Analytics gives you insights into the practice of analytics and, more importantly, how you can utilize analytic techniques to identify trends and outliers that may not be possible to identify using traditional security analysis techniques. Information Security Analytics dispels the myth that analytics within the information security domain is limited to just security incident and event management systems and basic network analysis. Analytic techniques can help you mine data and identify patterns and relationships in any form of security data. Using the techniques covered in this book, you will be able to gain security insights into unstructured big data of any type. The authors of Information Security Analytics bring a wealth of analytics experience to demonstrate practical, hands-on techniques through case studies and using freely-available tools that will allow you to find anomalies and outliers by combining disparate data sets. They also teach you everything you need to know about threat simulation techniques and how to use analytics as a powerful decision-making tool to assess security control and process requirements within your organization. Ultimately, you will learn how to use these simulation techniques to help predict and profile potential risks to your organization. Written by security practitioners, for security practitioners Real-world case studies and scenarios are provided for each analytics technique Learn about open-source analytics and statistical packages, tools, and applications Step-by-step guidance on how to use analytics tools and how they map to the techniques and scenarios provided Learn how to design and utilize simulations for "what-if" scenarios to simulate security events and processes Learn how to utilize big data techniques to assist in incident response and intrusion analysis

Data Mining and Machine Learning in Cybersecurity


Author: Sumeet Dua,Xian Du
Publisher: CRC Press
ISBN: 9781439839430
Category: Computers
Page: 256
View: 9412

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With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible paths for future research in this area. This book fills this need. From basic concepts in machine learning and data mining to advanced problems in the machine learning domain, Data Mining and Machine Learning in Cybersecurity provides a unified reference for specific machine learning solutions to cybersecurity problems. It supplies a foundation in cybersecurity fundamentals and surveys contemporary challenges—detailing cutting-edge machine learning and data mining techniques. It also: Unveils cutting-edge techniques for detecting new attacks Contains in-depth discussions of machine learning solutions to detection problems Categorizes methods for detecting, scanning, and profiling intrusions and anomalies Surveys contemporary cybersecurity problems and unveils state-of-the-art machine learning and data mining solutions Details privacy-preserving data mining methods This interdisciplinary resource includes technique review tables that allow for speedy access to common cybersecurity problems and associated data mining methods. Numerous illustrative figures help readers visualize the workflow of complex techniques and more than forty case studies provide a clear understanding of the design and application of data mining and machine learning techniques in cybersecurity.

Information Fusion for Cyber-Security Analytics


Author: Izzat M Alsmadi,George Karabatis,Ahmed Aleroud
Publisher: Springer
ISBN: 3319442570
Category: Technology & Engineering
Page: 379
View: 5240

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This book highlights several gaps that have not been addressed in existing cyber security research. It first discusses the recent attack prediction techniques that utilize one or more aspects of information to create attack prediction models. The second part is dedicated to new trends on information fusion and their applicability to cyber security; in particular, graph data analytics for cyber security, unwanted traffic detection and control based on trust management software defined networks, security in wireless sensor networks & their applications, and emerging trends in security system design using the concept of social behavioral biometric. The book guides the design of new commercialized tools that can be introduced to improve the accuracy of existing attack prediction models. Furthermore, the book advances the use of Knowledge-based Intrusion Detection Systems (IDS) to complement existing IDS technologies. It is aimed towards cyber security researchers.

Machine Learning and Security

Protecting Systems with Data and Algorithms
Author: Clarence Chio,David Freeman
Publisher: "O'Reilly Media, Inc."
ISBN: 1491979852
Category: Computers
Page: 386
View: 3035

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Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself! With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions

Security Metrics


Author: Andrew Jaquith
Publisher: Pearson Education
ISBN: 9780132715775
Category: Computers
Page: 336
View: 1049

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The Definitive Guide to Quantifying, Classifying, and Measuring Enterprise IT Security Operations Security Metrics is the first comprehensive best-practice guide to defining, creating, and utilizing security metrics in the enterprise. Using sample charts, graphics, case studies, and war stories, Yankee Group Security Expert Andrew Jaquith demonstrates exactly how to establish effective metrics based on your organization’s unique requirements. You’ll discover how to quantify hard-to-measure security activities, compile and analyze all relevant data, identify strengths and weaknesses, set cost-effective priorities for improvement, and craft compelling messages for senior management. Security Metrics successfully bridges management’s quantitative viewpoint with the nuts-and-bolts approach typically taken by security professionals. It brings together expert solutions drawn from Jaquith’s extensive consulting work in the software, aerospace, and financial services industries, including new metrics presented nowhere else. You’ll learn how to: • Replace nonstop crisis response with a systematic approach to security improvement • Understand the differences between “good” and “bad” metrics • Measure coverage and control, vulnerability management, password quality, patch latency, benchmark scoring, and business-adjusted risk • Quantify the effectiveness of security acquisition, implementation, and other program activities • Organize, aggregate, and analyze your data to bring out key insights • Use visualization to understand and communicate security issues more clearly • Capture valuable data from firewalls and antivirus logs, third-party auditor reports, and other resources • Implement balanced scorecards that present compact, holistic views of organizational security effectiveness

The Five Technological Forces Disrupting Security

How Cloud, Social, Mobile, Big Data and IoT are Transforming Physical Security in the Digital Age
Author: Steve Van Till
Publisher: Butterworth-Heinemann
ISBN: 0128050969
Category: Social Science
Page: 244
View: 5251

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The Five Technological Forces Disrupting Security: How Cloud, Social, Mobile, Big Data and IoT are Transforming Physical Security in the Digital Age explores the major technological forces currently driving digital disruption in the security industry, and what they foretell for the future. The book provides a high-level perspective on how the industry is changing as a whole, as well as practical guidance on how to incorporate these new technologies to create better security solutions. It also examines key questions on how these new technologies have lowered barriers for new entrants in the field and how they are likely to change market dynamics and affect customer choices. Set in the context of one of the early dot.com companies to enter physical security, the narrative is written for professionals from Chief Security Officers and systems integrators to product managers and investors. Explores the five major technological forces driving digital change in commercial security Shows practitioners how to align security strategies with these inevitable changes Examines how the consumerization of security will change the vendor playing field Illustrates how security professionals can leverage these changes in their own careers Provides an adoption scorecard that ranks trends and timeline for impact

Machine Learning and Data Mining for Computer Security

Methods and Applications
Author: Marcus A. Maloof
Publisher: Springer Science & Business Media
ISBN: 1846282535
Category: Computers
Page: 210
View: 8691

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"Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This book has a strong focus on information processing and combines and extends results from computer security. The first part of the book surveys the data sources, the learning and mining methods, evaluation methodologies, and past work relevant for computer security. The second part of the book consists of articles written by the top researchers working in this area. These articles deals with topics of host-based intrusion detection through the analysis of audit trails, of command sequences and of system calls as well as network intrusion detection through the analysis of TCP packets and the detection of malicious executables. This book fills the great need for a book that collects and frames work on developing and applying methods from machine learning and data mining to problems in computer security.

Applied Security Visualization


Author: Raffael Marty
Publisher: Addison-Wesley Professional
ISBN: 9780321510105
Category: Computers
Page: 523
View: 4821

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Harness new techniques that let you see what is happening on your networks and take decisive action without getting lost in a sea of data.

Threat Modeling

Designing for Security
Author: Adam Shostack
Publisher: John Wiley & Sons
ISBN: 1118810058
Category: Computers
Page: 624
View: 3057

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The only security book to be chosen as a Dr. Dobbs Jolt Award Finalist since Bruce Schneier's Secrets and Lies and Applied Cryptography! Adam Shostack is responsible for security development lifecycle threat modeling at Microsoft and is one of a handful of threat modeling experts in the world. Now, he is sharing his considerable expertise into this unique book. With pages of specific actionable advice, he details how to build better security into the design of systems, software, or services from the outset. You'll explore various threat modeling approaches, find out how to test your designs against threats, and learn effective ways to address threats that have been validated at Microsoft and other top companies. Systems security managers, you'll find tools and a framework for structured thinking about what can go wrong. Software developers, you'll appreciate the jargon-free and accessible introduction to this essential skill. Security professionals, you'll learn to discern changing threats and discover the easiest ways to adopt a structured approach to threat modeling. Provides a unique how-to for security and software developers who need to design secure products and systems and test their designs Explains how to threat model and explores various threat modeling approaches, such as asset-centric, attacker-centric and software-centric Provides effective approaches and techniques that have been proven at Microsoft and elsewhere Offers actionable how-to advice not tied to any specific software, operating system, or programming language Authored by a Microsoft professional who is one of the most prominent threat modeling experts in the world As more software is delivered on the Internet or operates on Internet-connected devices, the design of secure software is absolutely critical. Make sure you're ready with Threat Modeling: Designing for Security.

Security Data Visualization

Graphical Techniques for Network Analysis
Author: Greg Conti
Publisher: No Starch Press
ISBN: 1593271433
Category: Computers
Page: 272
View: 9230

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An introduction to a range of cyber security issues explains how to utilize graphical approaches to displaying and understanding computer security data, such as network traffic, server logs, and executable files, offering guidelines for identifying a network attack, how to assess a system for vulnerabilities with Afterglow and RUMINT visualization software, and how to protect a system from additional attacks. Original. (Intermediate)

Practical Enterprise Data Lake Insights

Handle Data-Driven Challenges in an Enterprise Big Data Lake
Author: Saurabh Gupta,Venkata Giri
Publisher: Apress
ISBN: 1484235223
Category: Computers
Page: 327
View: 5125

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Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues. When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data. Starting from sourcing data into the Hadoop ecosystem, you will go through stages that can bring up tough questions such as data processing, data querying, and security. Concepts such as change data capture and data streaming are covered. The book takes an end-to-end solution approach in a data lake environment that includes data security, high availability, data processing, data streaming, and more. Each chapter includes application of a concept, code snippets, and use case demonstrations to provide you with a practical approach. You will learn the concept, scope, application, and starting point. What You'll Learn Get to know data lake architecture and design principles Implement data capture and streaming strategies Implement data processing strategies in Hadoop Understand the data lake security framework and availability model Who This Book Is For Big data architects and solution architects

Data-Driven Storytelling


Author: Nathalie Henry Riche,Christophe Hurter,Nicholas Diakopoulos,Sheelagh Carpendale
Publisher: CRC Press
ISBN: 1315281554
Category: Computers
Page: 296
View: 5368

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This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities for researchers and practitioners.

Strategic Security Management

A Risk Assessment Guide for Decision Makers
Author: Karim Vellani
Publisher: Elsevier
ISBN: 008046596X
Category: Business & Economics
Page: 416
View: 3707

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Strategic Security Management supports data driven security that is measurable, quantifiable and practical. Written for security professionals and other professionals responsible for making security decisions as well as for security management and criminal justice students, this text provides a fresh perspective on the risk assessment process. It also provides food for thought on protecting an organization’s assets, giving decision makers the foundation needed to climb the next step up the corporate ladder. Strategic Security Management fills a definitive need for guidelines on security best practices. The book also explores the process of in-depth security analysis for decision making, and provides the reader with the framework needed to apply security concepts to specific scenarios. Advanced threat, vulnerability, and risk assessment techniques are presented as the basis for security strategies. These concepts are related back to establishing effective security programs, including program implementation, management, and evaluation. The book also covers metric-based security resource allocation of countermeasures, including security procedures, personnel, and electronic measures. Strategic Security Management contains contributions by many renowned security experts, such as Nick Vellani, Karl Langhorst, Brian Gouin, James Clark, Norman Bates, and Charles Sennewald. Provides clear direction on how to meet new business demands on the security professional Guides the security professional in using hard data to drive a security strategy, and follows through with the means to measure success of the program Covers threat assessment, vulnerability assessment, and risk assessment - and highlights the differences, advantages, and disadvantages of each

Intelligence-Driven Incident Response

Outwitting the Adversary
Author: Scott J Roberts,Rebekah Brown
Publisher: "O'Reilly Media, Inc."
ISBN: 1491935197
Category: Computers
Page: 284
View: 5505

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Using a well-conceived incident response plan in the aftermath of an online security breach enables your team to identify attackers and learn how they operate. But, only when you approach incident response with a cyber threat intelligence mindset will you truly understand the value of that information. With this practical guide, you’ll learn the fundamentals of intelligence analysis, as well as the best ways to incorporate these techniques into your incident response process. Each method reinforces the other: threat intelligence supports and augments incident response, while incident response generates useful threat intelligence. This book helps incident managers, malware analysts, reverse engineers, digital forensics specialists, and intelligence analysts understand, implement, and benefit from this relationship. In three parts, this in-depth book includes: The fundamentals: get an introduction to cyber threat intelligence, the intelligence process, the incident-response process, and how they all work together Practical application: walk through the intelligence-driven incident response (IDIR) process using the F3EAD process—Find, Fix Finish, Exploit, Analyze, and Disseminate The way forward: explore big-picture aspects of IDIR that go beyond individual incident-response investigations, including intelligence team building

Big Data Challenges

Society, Security, Innovation and Ethics
Author: Anno Bunnik,Anthony Cawley,Michael Mulqueen,Andrej Zwitter
Publisher: Springer
ISBN: 1349948853
Category: Political Science
Page: 140
View: 9353

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This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. Written in a clear and accessible style, it offers fresh insights to the deep reaching implications of Big Data for communication, privacy and organisational decision-making. It seeks to demystify developments around Big Data before evaluating their current and likely future implications for areas as diverse as corporate innovation, law enforcement, data science, journalism, and food security. The contributors call for a rethinking of the legal, ethical and philosophical frameworks that inform the responsibilities and behaviours of state, corporate, institutional and individual actors in a more networked, data-centric society. In doing so, the book addresses the real world risks, opportunities and potentialities of Big Data.